Abstract

  From the perspective of taxi drivers and airport managers, this paper makes a detailed analysis and solution to the problem of airport taxi scheduling during the epidemic of Coronavirus (COVID-19) by using the stochastic decision model. Based on the stochastic decision model, the selection strategies of taxi drivers are given by considering the seasonal weather and flight information. Firstly, the revenue function is introduced to calculate the revenue of strategy A (line up to pick up passengers) and strategy B (take no passengers back to the city) in the same time respectively. For the queuing loss, we give the probability calculation model of the average waiting time through the relationship between the number of existing vehicles in the storage pool and the initial number of queuing people, the arrival intensity of queuing, the boarding time and the number of boarding people. We get the expressions of the expected return under the two strategies and choose the strategy according to the principle of the maximum expected return. Then the average arrival intensity of queuing passengers is calculated by the specific data, and then the real-time data flow of queuing passengers is simulated. The random decision-making model is verified, in which the accuracy rate of flight peak decision-making reaches 100%, the accuracy rate of middle peak decision-making reaches 73.8%, and the accuracy rate of low peak decision-making reaches 91.9%. In addition, the impact of waiting volume in the storage pool, the number of people arriving in the queue per hour and other factors on the average waiting time of taxis is also plotted. It is found that the waiting volume in the storage pool has a more significant impact on the waiting time. Finally, the paper analyzes the sensitivity of the waiting number of the variable storage pool in the stochastic decision-making model, and finds that the waiting number of the storage pool is more sensitive to the stochastic decision-making model, while the distribution of the number of passengers is not sensitive to the stochastic decision-making model. The purpose of this paper is to establish a stochastic decision-making model for airport taxi scheduling by analyzing the influencing mechanism of taxi drivers' decision-making related factors during the epidemic of Coronavirus (COVID-19) and to give the choice strategy of drivers, so as to maximize the benefits of drivers.

Keywords:Airport Taxi Scheduling; Stochastic Decision Model; Epidemic of COVID-19; Sensitivity Analysis

References

1. Qian Zhenquan. “The 13^th Five-Year Plan of Civil Aviation of China: General Aviation is the Focus”. Guangdong Transportation 1 (2017): 37.
2. Gu Jie., et al. “Analysis of the spatiotemporal evolution of Guangzhou city activity based on taxi trajectory”. Notice on the solicitation and selection of academic papers of the 3^rd “Urban Observation. Round Table Conference 4 (2016): 68.
3. Li R., et al. “Study on Driver Decision and Management Optimization of Airport Taxi”.
4. Zhou Xianchun., et al. “A design of taxi dispatch center system: A design of taxi dispatch center system”. Electronic Technology Applications3: 136-138.
5. Yao Zhongmin., et al. “Taxi dispatching system considering traffic jam information in cities”. Transportation System Engineering and Information 4 (2013): 46-50.
6. Yang Hongye and Zhang Yue. “Design and Implementation of a New GPS Taxi Dispatching System”. Electronic Technology Applications6: 44-46.
7. Yao Zhongmin., et al. “Taxi dispatch system based on ZigBee technology”. Measurement and Control Technology4 (2014): 131-133.
8. Li Zhihao., et al. “Application of interior point fast attribution algorithm in taxi dispatch system”. Industrial Instrumentation and Automation 5 (2014): 104-107.
9. Chen Kebing and Gao Chengxiu. “An algorithm for solving the taxis 'scheduling in the limited network an algorithm for solving taxi scheduling in a finite network”. Journal of Mathematics6: 680-684.
10. Zhou Xiaomin., et al. “Taxi call and dispatch system based on GPS”. Computer Engineering and Design 21 (2009).
11. Wu Fang., et al. “Research on Optimal Model of Taxi Carpooling Dispatching”. Journal of Lanzhou Jiaotong University 1 (2009): 110-113.
12. Liu Xinzhu. “Design and Implementation of Taxi Intelligent Dispatching System”. Computer Knowledge and Technology 023 (2008): 980-982.
13. Li Lin., et al. “Research on the taxi scheduling system based on wireless network”. Journal of Lanzhou Jiaotong University3 (2013): 103-108.
14. Zhang Zhongneng. “Design and Implementation of Real-time Taxi Computer Dispatching System”. Computer Engineering and Applications009 (1998): 76-78.
15. Ma Weimin and Xu Qingchuan. “Off-line scheduling of k-taxi problem and its dynamic programming procedure optimal algorithm”. Journal of Systems Engineering6 (2001): 481-485.
16. Weng Jiancheng., et al. “Taxi operation management based on floating car data”. Journal of Beijing University of Technology 6 (2010): 65-70.
17. Wang Xuehui., et al. “Design of Taxi Autonomous Calling System at Close Range”. Traffic Information and Safety3 (2008): 105-107.
18. Shi Wenhuan., et al. “Taxi-Tracking-based Method for Traffic Status Estimation of Urban Road-Network”. Traffic Information and Safety5 (2009): 29-32.
19. Zhang Daozheng., et al. “Research on the Comprehensive Completeness Index of Urban Taxi System and Implementation of GIS Platform”. Transportation System Engineering and Information 01 (2013): 91-100.
20. Zhuang Lijian., et al. “Modeling and analysis of taxi operation management characteristics based on floating car data”. Journal of Chongqing Jiaotong University (Natural Science Edition)4 (2014): 122-127.
21. Sun Guangming., et al. “Research on key technologies of urban public transportation vehicle management system”. Journal of Wuhan University of Technology (Transportation Science and Engineering Edition) 4 (2004): 46-49.
22. Liu Yanting., et al. “Research on Map Matching Algorithm Based on Large Data at Long Intervals”. Journal of Transportation Engineering and Information 2 (2007): 73-78.
23. Lu Fang., et al. “Tsinghua Embedded GPS Taxi Dispatch System of Tsing Hua Embedded”. Computer Measurement and Control10 (2003): 751-753.
24. Yang Hongye and Zhang Yue. “Design and Implementation of a New GPS Taxi Dispatching System”. Electronic Technology Application006 (2002): 44-46.

Citation

Citation: Bin Zhao., et al. “Sensitivity Analysis of Airport Taxi Scheduling during the Epidemic of Coronavirus Disease 2019 in China".Acta Scientific Medical Sciences 2.7 (2020): 65-69.

Copyright

Copyright: © 2020 Bin Zhao., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.